Data science in sustainable entrepreneurship: A multidisciplinary field of applications

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change Pub Date : 2024-10-07 DOI:10.1016/j.techfore.2024.123798

Brij B. Gupta , Akshat Gaurav , Varsha Arya , Wadee Alhalabi

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引用次数: 0

Abstract

Defined as the merging of social and environmental sustainability into corporate operations, sustainable entrepreneurship has embraced data science more and more to improve operational effectiveness and decision-making. Using statistics, machine learning, and computer science to uncover insights from challenging datasets, this interdisciplinary method blends the ideas of sustainability with sophisticated data analysis approaches. Our research supports the choice of this issue by stressing the urgent requirement of sophisticated analytical instruments to negotiate the complexity of sustainable business practices. We compare our proposed model against Logistic Regression, Feedforward Neural Networks, and Support Vector Machines (SVMs). This not only shows how better CNN models are for certain uses but also highlights the general possibilities of data science in promoting sustainability in business. Our results highlight the transforming ability of sophisticated machine learning methods in promoting informed, sustainable decision-making and supporting the more general conversation on sustainable business.

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可持续创业中的数据科学：多学科应用领域

可持续创业被定义为将社会和环境的可持续发展融入企业运营，它越来越多地采用数据科学来提高运营效率和决策水平。这种跨学科方法利用统计学、机器学习和计算机科学从具有挑战性的数据集中发掘见解，将可持续发展理念与复杂的数据分析方法融为一体。我们的研究强调了对复杂分析工具的迫切需求，以应对可持续商业实践的复杂性，从而支持对这一问题的选择。我们将提出的模型与逻辑回归、前馈神经网络和支持向量机（SVM）进行了比较。这不仅显示了 CNN 模型在某些用途上的优越性，还突出了数据科学在促进商业可持续发展方面的普遍可能性。我们的研究结果凸显了先进的机器学习方法在促进明智的可持续决策和支持更广泛的可持续商业对话方面的变革能力。

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

期刊介绍： Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.